Determining the KPIs of the German engineering industry based on the evaluation of contemporary business models

Kostin, B Konstantin; Steinbiß, Kristina; Petrinovic, Oliver

doi:10.5937/straman2103003k

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Based on the literature [6,[29][30][31][32], Table 1 presents the sales KPIs usually implemented in organisations to ensure the sales business processes achieve the strategic desire needs. ∑ profit The gross/net profit is the sum of all the product profits that can be analysed by month, quarter, year and even by day, depending on the granularity declared in the DW fact table.…”

Section: Key Performance Indicators (Kpis) For Salesmentioning

confidence: 99%

Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform

Gonçalves,

Campante

2023

Information

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The rapid advance of business technologies in recent years has made knowledge an essential and strategic asset that determines the success or failure of an organisation. Access to the right information in real time and with high selectivity can be a competitive advantage in the business environment. Business intelligence systems help corporate executives, business managers, and other operational workers make better and more informed business decisions. This study aimed to assess the impact of using business intelligence tools on the decision-making process in organisations, specifically in sales marketing. The methodology applied to realise the study’s objective was the Vercellis methodology. A set of data available on the sales marketing website SuperDataScience was used to implement a set of pressing KPIs for the business decision-making process in the area. Using these data, a complete business intelligence system solution was implemented. A data warehouse was created using the ETL (extract–transform–load) process, and the data were then explored using a set of dynamics dashboards with a view of the business metrics. The results showed the use of business intelligence systems that allow the integration and transformation of data from various sources stored in data warehouses, where it is possible to implement KPIs and carry out quick, concise, easy-to-interpret graphical analyses. This paper contributes to a better understanding of the importance of data-integrated dashboard visualisation for the decision-making process.

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Section: Key Performance Indicators (Kpis) For Salesmentioning

confidence: 99%

Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform

Gonçalves,

Campante

2023

Information

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Key performance indicators for business models: a systematic review and catalog

van de Ven,

Lara Machado,

Athanasopoulou

et al. 2023

Inf Syst E-Bus Manage

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Organizations continuously adapt and innovate their business models to remain competitive. To support the management of business models throughout their lifecycle, Key Performance Indicators (KPIs) related to business models play an important role. However, the current research on business model KPIs is dispersed and lacks clarity on how they are defined, concretized, and managed throughout their lifecycle. Therefore, we conducted a systematic literature review to analyze and consolidate the current state of the research on KPIs for business models. We identified 35 relevant publications and classified them in a concept matrix consisting of five categories related to business models and KPI management. In addition, we synthesized the business model KPIs referred to in the literature into a catalog structured by business model dimensions. Based on our review and analysis, we formulate avenues for further research on KPIs for business models. Practitioners can use the overview of available approaches for business model KPI management and the catalog of business model KPIs to effectively manage and define KPIs for their organization’s business models.

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Blockchain implementation in smart cities: Discussion on performance indicators

Ivanišević,

Ivić,

Ćirić

2023

Strategic Management

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Background: Blockchain project implementation in smart cities represents a novel challenge in information technologies. Lack of functional framework and guidelines impact these implementations and add additional uncertainty. Authors in their research on this subject seek to discover a functional framework to improve the implementation process. The research is divided into 3 parts: identification of best application areas, critical success factors, and implementation performance indicators. Purpose: The goal of this paper is to present findings on the performance indicators and offer additional insight into their nature as well as point to lesser-known performance indicators of blockchain projects. Study design/methodology/approach: Authors used the Delphi technique and according to the methodology, a panel of 33 experts was presented with a list of performance indicators and asked to add additional performance indicators as well as to assess their importance. The research foundation was based on the literature review which resulted in 9 performance indicators for the blockchain project implementation in smart cities. Findings/conclusions: The experts proposed 8 additional performance indicators; however, only 1 of them had required consensus to be accepted by the panel. This paper will disclose both groups of performance indicators and preserve them for further scientific discussion since the performance indicators that were proposed by the individual experts but did not reach panel consensus will not be contained in the further research results. After all rounds of the Delphi method were finished the experts concluded the list of the 5 most important performance indicators for the implementation of blockchain projects in the smart city. Limitations/future research: Due to limited resources and lack of experts, the size of the panel is limited to only 33 experts. In addition, smart cities are usually managed by the public sector, so access to all data is limited. The findings presented in the paper can be further used to improve the efficiency of blockchain projects.

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Determining the KPIs of the German engineering industry based on the evaluation of contemporary business models

Cited by 3 publications

References 41 publications

Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform

Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform

Key performance indicators for business models: a systematic review and catalog

Blockchain implementation in smart cities: Discussion on performance indicators

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